Data Source - Rtoaster insight+ Google Account Integration
  • 07 Dec 2022
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Data Source - Rtoaster insight+ Google Account Integration

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Article Summary

Note

This is a machine-translated version of the original Japanese article.
Please understand that some of the information contained on this page may be inaccurate.

summary

This is a help page for setting up data transfer from Rtoaster insight+.

Supported Protocols

  • Data Transfer (Embulk)
  • File aggregation

precondition

Rtoaster insight+ manages data with BigQuery, which is built on the Tokyo region (asia-northeast1) of the Google Cloud Platform (hereinafter abbreviated as GCP).

BigQuery for Rtoaster insight+ only uses the following GCP projects:

Project NameRole
rtoaster-insightIt will be linked when linking your Google account.
rtoaster-dataContains the corresponding data in the Rtoaster table on the Rtoaster insight+ screen.
bp-pica-prdContains data corresponding to a user-defined table on the Rtoaster insight+ screen.

Setting items

STEP1 Basic settings

Itemnamerequireddefault
valuecontent
Rtoaster insight+ Google Account Connection InformationYes
From the connection information registered in advance, select the one that has the necessary permissions for this transfer setting.
Please refer to here for how to set the connection information.
Data export destination Google Cloud Storage URIYes
Source Rtoaster insight+ Google account integration requires you to temporarily export data to the GCS bucket you created.
Therefore, please specify the GCS bucket path for customers with linked Google accounts.
.SQLYes
Legacy SQL is not available.
For tables that can be used, please check the GCP project name, dataset name, and table name below.
File format for temporary dataYes.CSVPlease specify the file format of the data to be temporarily stored in GCS.
Temporary data deletion policyYesdeleteSpecify whether you want to delete temporary data stored in GCS.
Temporary data is created each time you transfer data, so we recommend that you specify that you delete it.

How to check GCP project name, dataset name, and table name

  1. Check the GCP project by moving to the BigQuery console from here.
    GCPプロジェクトの選択.png

プロジェクト選択.png

Please specify either GCP projectrtoaster-dataプロジェクト orbp-pica-prdプロジェクト that contains Rtoaster insight+ data.

* Since the permission to execute data in Rtoaster insight+ isrtoaster-insightプロジェクト granted to , if you want tortoaster-insightプロジェクト execute SQL, please execute it with the specified state.

  1. Check the dataset name and table name as follows.

データセットとテーブルの確認方法.png

GCP project name → dataset name → It is hierarchical like table name.

supplement

Precautions

  • The cost of the execution job is included in the cost of Rtoaster insight+.

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